Emad Mostaque, the CEO of Stability AI, has issued a warning stating that a large proportion of outsourced programmers in India might face unemployment within the next one to two years. This potential job loss is attributed to the growing adoption of artificial intelligence (AI) technologies, which are steadily streamlining various aspects of software development processes.
Stability AI CEO Emad Mostaque has predicted that India’s outsourced coders, particularly up to level three programmers, are likely to face significant impact in the coming years due to the advancements in artificial intelligence (AI) streamlining software development processes. In contrast, countries with more robust labor laws, such as France, may experience comparatively fewer job losses in the software development sector.
TCS, India’s largest IT services and consulting firm, has made significant investments in generative AI and aims to train over 25,000 engineers through Microsoft’s Azure Open AI service to accelerate its adoption. The integration of AI across industries is expected to bring significant changes to the workforce, necessitating proactive measures to adapt to evolving technological landscapes.
TCS’s CEO, N. Ganapathy Subramaniam, revealed in an interview that the company adopted a “machine-first” approach to project delivery four years ago, which demonstrated the enormous impact of AI on their operations. Generative AI has further advanced their capabilities.
Despite AI advancements, Emad Mostaque clarified that his prediction of “no more programmers” within five years refers to traditional coders. He emphasized that AI can handle coding tasks better, from bug testing to unit testing to ideation, but human expertise will still be required in complementary roles. Mostaque referred to AI as “co-pilots” in programming, implying that while fewer people might be needed for classical programming tasks, there will be opportunities in other areas that require human understanding and expertise. The key lies in striking a balance and understanding AI’s potential impact across different fields.
